{"id":"W3106082711","doi":"","title":"Developing Digital Citizenship, Digital Literacy and Student Voice Using Social Media in K12","year":2020,"lang":"en","type":"article","venue":"EdMedia + Innovate Learning","topic":"Child Development and Digital Technology","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Citizenship; Social media; Digital literacy; Digital media; Literacy; Sociology; Digital native; Media literacy; Multimedia; Political science; Media studies; Pedagogy; Public relations; Computer science; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0003269174,0.0002145705,0.0003193915,0.0002549339,0.0004391348,0.001046951,0.0002929039,0.0001959183,0.00002407304],"category_scores_gemma":[0.002561955,0.0002371508,0.0000387678,0.001637527,0.0003372031,0.001063011,0.0004007622,0.0006227022,0.00005490199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001771613,"about_ca_system_score_gemma":0.0002595588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001001658,"about_ca_topic_score_gemma":0.00003480299,"domain_scores_codex":[0.9979721,0.00005765413,0.0004710457,0.0004243662,0.0004890579,0.0005857676],"domain_scores_gemma":[0.999136,0.000400212,0.0001664338,0.00005881838,0.0001081507,0.00013043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004771849,0.00003913257,0.5999739,0.0000405746,0.00004885147,0.0001843781,0.235535,0.000009874767,0.0001439832,0.04547654,0.0002460787,0.118254],"study_design_scores_gemma":[0.008070411,0.0002774557,0.3394924,0.0008147156,0.00005296585,0.00005715798,0.1771747,0.0008159507,0.0004816112,0.09721746,0.3701819,0.005363375],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9803849,0.00009321215,0.0003033158,0.008656145,0.0002982414,0.0001604165,0.000006559248,0.0002849089,0.009812232],"genre_scores_gemma":[0.9983482,0.00002336043,0.0003849092,0.0004179874,0.0006682363,0.000004942959,0.0000449457,0.00002751245,0.00007992721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3699358,"threshold_uncertainty_score":0.99999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05158205841630961,"score_gpt":0.3282235152155006,"score_spread":0.2766414567991911,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}